Recent advances toward transparent methane emissions monitoring: a review

BM Erland, AK Thorpe, JA Gamon - Environmental Science & …, 2022 - ACS Publications
Given that anthropogenic greenhouse gas (GHG) emissions must be immediately reduced
to avoid drastic increases in global temperature, methane emissions have been placed …

Geo-bench: Toward foundation models for earth monitoring

A Lacoste, N Lehmann, P Rodriguez… - Advances in …, 2024 - proceedings.neurips.cc
Recent progress in self-supervision has shown that pre-training large neural networks on
vast amounts of unsupervised data can lead to substantial increases in generalization to …

Tiered leak detection and repair programs at simulated oil and gas production facilities: Increasing emission reduction by targeting high-emitting sources

FJ Cardoso-Saldaña - Environmental Science & Technology, 2023 - ACS Publications
Distributions of methane emission rates originating from oil and gas production facilities are
highly skewed and span 6–8 orders of magnitude. Traditional leak detection and repair …

Toward foundation models for earth monitoring: Proposal for a climate change benchmark

A Lacoste, ED Sherwin, H Kerner… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent progress in self-supervision shows that pre-training large neural networks on vast
amounts of unsupervised data can lead to impressive increases in generalisation for …

EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision

D Velazquez, PR López, S Alonso, JM Gonfaus… - arXiv preprint arXiv …, 2025 - arxiv.org
This paper presents EarthView, a comprehensive dataset specifically designed for self-
supervision on remote sensing data, intended to enhance deep learning applications on …